Triple
T12345274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Butler, 1st Earl of Gowran |
E294336
|
entity |
| Predicate | aristocratic rank |
P9679
|
FINISHED |
| Object | earl |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: earl | Statement: [John Butler, 1st Earl of Gowran, aristocratic rank, earl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aristocratic rank Context triple: [John Butler, 1st Earl of Gowran, aristocratic rank, earl]
-
A.
aristocraticTitleStatus
Indicates the status or condition of an entity’s aristocratic or noble title (e.g., whether and how the title is held, recognized, or used).
-
B.
aristocraticRole
Indicates that an entity holds or is associated with a formal position, title, or function within an aristocratic or noble hierarchy.
-
C.
rankRelativeToPeerage
Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
-
D.
aristocraticTitleIn
Indicates that an entity holds or is associated with a specific aristocratic or noble title within a particular jurisdiction or context.
-
E.
nobilityClass
chosen
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.